Impacts of On-board Devices and Training on Light Duty Vehicle Driving Behavior

Rolim, Catarina; Baptista, Patrícia; Duarte, Gonçalo; Farias, Tiago L.

doi:10.1016/j.sbspro.2014.01.105

Cited by 30 publications

(14 citation statements)

References 10 publications

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“…Barkenbus (2010) indicated that eco-driving can reduce CO 2 emissions from driving by 10%. Rolim et al (2014) also showed the reduction in CO 2 emissions after the eco-driving education.…”

Section: Introductionmentioning

confidence: 87%

Short-Term and Long-Term Impacts of Eco-Driving on Dynamics of Driving Behaviour and Operating Parameters

et al. 2020

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This paper shows the impact of eco-driving training course on driving behaviour of 7 drivers, analysing two internal parameters: Scania Driver Support (SDS) parameter and Fuel Consumption (FC). Data were collected using Scania Fleet Management System (Scania FMS) over a period of one-year (1 + 2 + 4 + 6 months during the 2015 and 2016). Data for these two parameters of all drivers were recorded daily over a one-year period and calculated in average values on a monthly basis. A one-year cycle of average monthly ambient temperatures of wider geographical region was adopted as the most important external parameter of impact on eco-driving benefits. Longitudinal observation period is divided into: one month initial period of establishing the parameter values before the training (one month), short-term with eco-driving (two months), short-term without eco-driving (four months) and long-term (six months). Significantly higher values of SDS parameter (p < 0.05) and significant reduction of FC (p = 0.0310 < 0.05) were established with a higher average ambient temperature over a short-term period. A partial increase of SDS parameter value (p < 0.10) was established over a long-term period but the level of FC reversed to the values as before the training (p = 0.7554 > 0.05). The results indicate the potential of eco-driving training that manifests significantly positive effects only in good driving conditions. With bad weather conditions that correlate with bad driving conditions, the effects of eco-driving training are supressed with increased requirements for safer driving. Primary conclusion of the paper is that the eco-driving training principles have an apparent positive effect on reduction of FC and CO2 emission but are at the same time sensitive to environmental driving conditions.

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“…Barkenbus (2010) indicated that eco-driving can reduce CO 2 emissions from driving by 10%. Rolim et al (2014) also showed the reduction in CO 2 emissions after the eco-driving education.…”

Section: Introductionmentioning

confidence: 87%

Short-Term and Long-Term Impacts of Eco-Driving on Dynamics of Driving Behaviour and Operating Parameters

et al. 2020

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“…Savings values were between 5% and 12%, which were similar to values from other studies. Rolim et al [37] and Beusen et al [38] obtained fuel savings for light vehicles of around 5% while Zarkadoula et al [17] and Strömberg and Karlsson [39] reached values between 5 and 7% for urban buses. Other authors such as Miller et al [40] and Andrieu and Pierre [41] obtained higher savings from eco-driving, which surpassed 15%.…”

Section: Overall Impacts Of Eco-driving (After Training Course)mentioning

confidence: 98%

Developing Eco-Driving Strategies considering City Characteristics

Coloma

García

Boggio-Marzet

et al. 2020

Journal of Advanced Transportation

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CO2 emissions reduction is a top element of transport policy agenda. Among other mitigation policy measures, eco-driving techniques have proven to be effective in reducing fuel consumption and CO2 emissions. The aim of this paper is to compare the impacts of adopting eco-driving in different cities, road segments, traffic, and driver features. It intends to gain an insight into how city size and driving characteristics can reduce fuel consumption and CO2 emissions in order to develop specific eco-driving strategies. Field trials were conducted in two Spanish cities (Madrid and Caceres). 24 drivers, with different driving experiences, drove two different vehicles (petrol and diesel) along roads with different characteristics. The experiment was divided into two periods of 2 weeks; after the first one, drivers received an eco-driving training course. The impacts of eco-driving were measured comparing before and after results. They showed that eco-driving is highly effective in reducing fuel consumption and CO2 emissions in both, large-congested and small, cities. Savings between 5% and 12% were achieved. The efficiency increases with road capacity and decreased with city size. Eco-driving appears to be more effective in small, uncongested cities. In addition, limiting speeds on high capacity roads has proven to be a good energy saving measure.

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“…Beusen et al used on-board logging devices to track the long-term impact of a static eco-driving scheme using actual fuel savings (Beusen et al, 2009). Rolim et al used similar devices to track the effectiveness of an eco-driving program; however, they used frequency and level of excessive acceleration and declaration to quantify the improvement (Rolim, Baptista, Duarte, & Farias, 2014). Song and Yu normalized average fuel consumption rates with the idling rate to eliminate the effects of engine size, fuel type, and vehicle mass (Song & Yu, 2009).…”

Section: Literature Reviewmentioning

confidence: 99%

Development and analysis of eco-driving metrics for naturalistic instrumented vehicles

Tanvir

Chase

Roupahil

2019

Journal of Intelligent Transportation Systems

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This article is concerned with the development of eco-driving metrics for instrumented vehicles in a longitudinal study environment. Motivations for developing such metrics include an ability to distill driving style effects on fuel use from other confounding factors, to contrast and benchmark driving styles for a cohort of drivers and to ascertain the effects of information and/or incentives on fuel use both in the short and long term. High resolution (1 Hz) trip data were collected for a local sample of 35 drivers over a period of 2 years, yielding over 20 million second by second observations. To account for the difference in vehicle type choice, a standard vehicle was used to model fuel consumption based on instantaneous vehicle activity. Difference in route choice was accounted for using speed-bin dependent metrics. Two metrics were developed: a trip-based measure called the fuel efficiency score (FES), and a difference in fuel use metric that uses the second by second observations called the fuel use difference (FUD). FES varies from 20 to 100 while FUD covers positive and negative percentage differences from a speed-bin dependent mean value. Both measures passed the test of consistency so that, at the driver level, both revealed no temporal trend in the scores from month to month across a period of 2 years. Moreover, the FES metric passed the heterogeneity test. It was able to identify four distinct clusters of driving styles.

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Impacts of On-board Devices and Training on Light Duty Vehicle Driving Behavior

Cited by 30 publications

References 10 publications

Short-Term and Long-Term Impacts of Eco-Driving on Dynamics of Driving Behaviour and Operating Parameters

Short-Term and Long-Term Impacts of Eco-Driving on Dynamics of Driving Behaviour and Operating Parameters

Developing Eco-Driving Strategies considering City Characteristics

Development and analysis of eco-driving metrics for naturalistic instrumented vehicles

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